Convex Optimization Algorithms
Download and Read Convex Optimization Algorithms full books in PDF, ePUB, and Kindle. Read online free Convex Optimization Algorithms ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Algorithms for Convex Optimization
Author | : Nisheeth K. Vishnoi |
Publisher | : Cambridge University Press |
Total Pages | : 314 |
Release | : 2021-10-07 |
Genre | : Computers |
ISBN | : 1108633994 |
Download Algorithms for Convex Optimization Book in PDF, Epub and Kindle
In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.
Algorithms for Convex Optimization Related Books
Pages: 314
Pages: 576
Pages: 256
Pages: 142
Pages: 744